You are here

Data compression techniques for underwater imagery

Download pdf | Full Screen View

Date Issued:
1996
Title: Data compression techniques for underwater imagery.
78 views
18 downloads
Name(s): Schmalz, Mark S.
Ritter, G. X.
Caimi, F. M.
Harbor Branch Oceanographic Institute
Type of Resource: text
Genre: Article
Date Issued: 1996
Publisher: Marine Technology Society
Place of Publication: Washington, DC
Physical Form: pdf
Extent: 9 p.
Language(s): English
Identifier: FA00007349 (IID), 10.1109/OCEANS.1996.568357 (doi)
Note(s): The onboard data storage burden associated with underwater (UW) imagery tends to be significant for applications such as image-based navigation via an autonomous UW vehicle (AUV). Due to mission, space, and power requirements the use and storage of multispectral imagery in compressed form is preferred. In this paper, we discuss the spatial and statistical characteristics of UW imagery that facilitate compression by well-known algorithms such as JPEG, vector quantization (VQ), and visual pattern image coding (VPIC). For example, we consider statistical distributions of target and background greylevels obtained from truthed imagery, as well as power spectral analysis of target-background differences. The former measures facilitate parameter selection in VQ and VPIC, while the latter are important in JPEG. Preliminary results are given for recently-developed algorithms that yield compression ratios ranging from 5,500:1 to 16,500:1 based on prefiltered six-band multispectral imagery of resolution 720x480 pixels. The prefiltering step, which removes unwanted background objects, is key to achieving high compression.
Florida Atlantic University. Harbor Branch Oceanographic Institute contribution 1200
This manuscript is an author version with the final publication available and may be cited as: Schmalz, M. S., Ritter, G. X., & Caimi, F. M. (1996). Data compression techniques for underwater imagery. In Oceans 96 MTS/IEEE: coastal ocean, prospects for the 21st century: conference proceedings, 23-26 September, 1996, Broward County Convention Center, Fort Lauderdale, Florida (pp. 929-936). Washington, DC: Marine Technology Society.
Subject(s): Underwater imaging systems
Data Compression
Links: http://dx.doi.org/10.1109/OCEANS.1996.568357
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00007349
Host Institution: FAU